Automated summary
This skill browses the active dataset's metric dictionary and displays definitions, categories, and validation status for each metric.
Strengths
- Lists, filters by category, searches textually, and shows full detail for a single metric through a few simple commands
- Reads definitions from the active dataset's YAML files, so formulas and granularity stay aligned with the source of truth
- Flags metrics whose last validation is older than 30 days
- Suggests relevant follow-up actions such as data profiling, writing a new metric spec, or trend analysis
Limitations
- Assumes a specific file layout (.knowledge/active.yaml plus .knowledge/datasets/{active}/metrics/) is already in place
- Computes and validates nothing on its own; it only reads and displays existing definitions
- Filter and search arguments must be typed in the exact category= / search= form
Use it when you need to look up an existing metric definition or check whether a metric is already documented before using it.
Avoid it on a dataset that has no metric dictionary, or when you actually need to compute a metric against the data.
Security analysis
SafeThe skill only reads local YAML files under .knowledge/ (active.yaml, metric index, per-metric files) and displays formatted tables. It declares no tools, makes no network calls, runs no shell commands, and performs no writes or destructive actions, so there is no meaningful execution risk.
No concerns found
How this analysis is madeExamples
/metrics — show me all the metrics we track for the active dataset/metrics mrr — show me the full spec including formula, unit, and validation status/metrics search=churn — which metrics mention churn in their name or description?Skill: Metrics
Purpose
Browse, search, and display metric definitions from the active dataset's metric dictionary. Provides quick access to how metrics are defined, computed, and validated.
When to Use
- User says
/metricsor "show me the metrics" or "what metrics do we track?" - During analysis, to confirm a metric's definition before computing it
- When writing a metric spec, to check for existing definitions
Invocation
/metrics — list all metrics for the active dataset
/metrics {id} — show full spec for a specific metric
/metrics category={cat} — filter by category (e.g., monetization)
/metrics search={term} — search metric names and descriptions
Instructions
Step 1: Load Metric Dictionary
- Read
.knowledge/active.yamlto identify the active dataset. - Read
.knowledge/datasets/{active}/metrics/index.yamlfor the metric list. - If no metrics directory exists: "No metric dictionary for this dataset. Use the metric-spec skill to define metrics."
Step 2: Execute Command
List all (/metrics):
- Display as a table: id, name, category, direction, validation_status
- Group by category
- Show total count
Show specific (/metrics {id}):
- Read
.knowledge/datasets/{active}/metrics/{id}.yaml - Display: name, category, owner, full definition (formula, unit, direction, granularity), source tables, dimensions, guardrails, typical range, validation status
- If metric not found: suggest closest match from index
Filter by category (/metrics category=monetization):
- Filter index by category field
- Display filtered table
Search (/metrics search=revenue):
- Search metric names and descriptions (case-insensitive substring)
- Display matching metrics
Step 3: Contextual Suggestions
After displaying metrics, suggest relevant actions:
- "Want to validate {metric} against the current data? Use the data-profiling skill."
- "Need to define a new metric? Use the metric-spec skill."
- "Want to see how {metric} trends over time? Ask me to analyze it."
Edge Cases
- No active dataset: Prompt to connect one
- Empty metric dictionary: Suggest using metric-spec skill
- Metric referenced but not in dictionary: Offer to create it
- Stale validation: Flag metrics where last_validated is >30 days ago
From the file to a first result
The download contains exactly the content displayed on this page. This copy may differ from the latest version in the source repository.
View the source and supporting filesThis download contains SKILL.md only. Any scripts, references, templates and dependencies are not included. Get the required files from the source, preserving their directory structure, before continuing.
1. Download the file
Download SKILL.mdFrom the root of a test project, save the file as .skill-downloads/metrics-dictionary-mm5t89o6/SKILL.md, or use the command below. This folder is for inspecting the skill before installation.
Command for macOS/Linux or WSL: requires a POSIX shell and curl. On Windows without WSL, use the download button and create the folder manually.
mkdir -p '.skill-downloads/metrics-dictionary-mm5t89o6' && curl --fail --show-error --location 'https://skills-guides.com/api/skills/metrics-dictionary-mm5t89o6/download' --output '.skill-downloads/metrics-dictionary-mm5t89o6/SKILL.md.part' && mv '.skill-downloads/metrics-dictionary-mm5t89o6/SKILL.md.part' '.skill-downloads/metrics-dictionary-mm5t89o6/SKILL.md'2. Check prerequisites
Read SKILL.md before using it. If it references scripts or external services, inspect them and prepare the required access in your test environment.
No recognized prerequisites section in this file. This does not mean it is self-contained: libraries, tools and access requirements may be mentioned elsewhere in the content or source repository.
The platforms on this page are catalog indications. The paths below follow tool documentation; they do not prove this skill has been run in those tools. No minimum tool version is confirmed for this listing.
3. Load the skill
This file does not provide a usable name/description header for this native procedure. It remains available to download and inspect; use the manual method below.
Manual method or another tool: attach SKILL.md to a conversation, or open it in an agent that can read files. Include any required supporting resources. No universal folder is recognized by every tool.
4. Try a first task
Use a short, synthetic input: an API endpoint, a small document or an interface brief. In a new conversation, attach the file or give the agent its path, then adapt this request:
Read .skill-downloads/metrics-dictionary-mm5t89o6/SKILL.md and apply its instructions to this example: [describe a test input]. Identify any missing files, dependencies or access. Produce the result requested by the skill without inventing data or running unreviewed scripts.Expected result: output matching the skill instructions, or a precise list of missing prerequisites. A read confirmation alone does not validate a first use. If an external resource is unavailable, that path remains untested.
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